Energy-efficient dominating tree construction in wireless ad hoc and sensor networks

Authors:
Ruiyun Yu;Xingwei Wang;Yonghe Liu;Sajal K. Das
Affiliations:
Computing Center, Northeastern University, China;College of Information Science and Engineering, Northeastern University, China;Department of Computer Science and Engineering, The University of Texas at Arlington;Department of Computer Science and Engineering, The University of Texas at Arlington
Venue:
ICDCN'08 Proceedings of the 9th international conference on Distributed computing and networking
Year:
2008

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Abstract

Motivated by reducing communication overhead and prolonging network lifetime in wireless ad hoc and sensor networks, we propose an energy-efficient dominating tree construction (EEDTC) algorithm to construct a dominating tree that can serve as a communication backbone in wireless infrastructures. The algorithm has a theoretical approximation factor of at most 9, and has O(n) message complexity and O(n) time complexity. Due to the low message complexity, EEDTC performs well on energy consumption. The energy-aware ranking technique introduced can also balance energy consumption in the network, and hence reduce the probability of network failures caused by energy depletion of backbone nodes.